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team to translate methods to clinical research studies and analyze imaging data. Disseminate findings through peer-reviewed manuscripts, conference presentations, open/reproducible code, and the
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the intersection of cardiovascular physiology, cancer biology, and regenerative medicine. This position offers the opportunity to develop translational research projects using cutting-edge approaches in a dynamic
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investigating the cellular and molecular mechanisms underlying brain aging and age-related neurodegenerative diseases—including Alzheimer’s disease—using advanced spatial biology platforms and translational
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
in which individuals are enrolled into prospective observational or intervention studies that seek to better understand and prevent posttraumatic neuropsychiatric sequelae (https://www.med.unc.edu/itr
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Position Details Position Information Recruitment/Posting Title Post Doctoral Associate (Multi-omics Life Course Research) Job Category Staff & Executive - Research (Laboratory/Non-Laboratory
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and multi-omic datasets; integrating genomic findings with clinical phenotypes; and supporting functional studies to evaluate relevant genes and variants associated with chromosome 9p disorders
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partners in a highly interdisciplinary consortium, translating large-scale cardiovascular data into clinically applicable tools for precision medicine. Are you ready to set the course for the years ahead
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studies, the candidate interacts with Chemists developing novel bioactive small molecules targeting relevant signaling nodes in the mentioned pathologies. The working place of the successful candidate is
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Airports Council International for many years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation/. Job Summary Research Duties and Responsibilities Design, conduct, and
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and technology to industry and society. Computer vision is one of the most dynamic areas of artificial intelligence, enabling machines to understand and interpret the visual world. At CVC, we combine